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Video coding 8X8 integer transformation method
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An integer transformation and video coding technology, which is applied in the field of video coding, can solve the problems of occupying a lot of hardware resources, low calculation accuracy, irreversible transformation, etc.
Pending Publication Date: 2011-10-26
SHENZHEN TEMOBI SCI &TECH
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[0004] The purpose of the embodiments of the present invention is to propose a video encoding 8x8 integer transformation method, aiming to solve the problem that the DCT transformation matrix in the prior art uses floating-point multiplication and addition, which takes up a lot of hardware resources, and the calculation is complex and large, and the calculation accuracy is not high. The inverse transformation cannot be completely matched, and the transformation is irreversible
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Embodiment 1
[0063] Such as figure 1 Shown is a video encoding 8x8 integer transformation method in Embodiment 1 of the present invention, the method includes the following steps:
[0064] S101, receiving the 8x8 image residual data X output by the prediction module in the encoder;
[0065] S102, selecting an integer transformation base, and constructing a transformation matrix P;
[0066] The general integer transformation matrix of 8x8 is:
[0067] C = k 0 k 0 k 0 k 0 k 0 k 0 k 0 k 0 k ...
Embodiment 2
[0085] The following is a video encoding 8x8 integer transformation method in Embodiment 2 of the present invention. Embodiment 2 of the present invention selects [15, 15, 10, 3] as the integer transformation base of the 8x8 general integer transformation matrix, and the method includes the following steps:
[0086] S201, receiving the 8x8 image residual data X output by the prediction module in the encoder;
[0087] S202, selecting an integer transformation base, and constructing a transformation matrix P;
[0088] The general integer transformation matrix of 8x8 is:
[0089] C = k 0 k 0 k 0 k 0 k 0 k 0 ...
Embodiment 3
[0123] The following is a video encoding 8x8 integer transformation method in Embodiment 3 of the present invention. Embodiment 3 of the present invention selects [6,7,5,1] as the integer transformation base of the 8x8 general integer transformation matrix, and the method includes the following steps:
[0124] S301. Receive 8x8 image residual data X output by a prediction module in an encoder.
[0125] S302, select an integer transformation base, and construct a transformation matrix P;
[0126] The general integer transformation matrix of 8x8 is:
[0127] C = k 0 k 0 k 0 k 0 k 0 k 0 k ...
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Abstract
The invention discloses a video coding 8X8 integer transformation method. The method comprises the following steps: through receiving 8X8 image residual error data X outputted by a prediction module in an encoder, selecting different integer transformation radix ([15,15,10,3] or [6,7,5,1]), and constructing a transformation matrix P; according to the transformation matrix P, constructing a zoom matrix PF (PF=Z<T>*Z); carrying out positive transformation (Y=PXPT) on the image residual error data X, and employing corresponding integer transformation calculation method according to different integer change radix; carrying out zoomprocessing on data Y which goes through 8X8 positive transformation. The transformation method in the invention has excellent energy concentration performance, wherein energy concentration is close to 8X8 DCT, and correlation of video data in transformation space can be greatly eliminated. The method has low calculating complexity and can be realized through addition and shift. In the method, hardware realization is easy, operation precision is high, and there is no orthogonal transformation mismatching problem.
Description
technical field [0001] The present invention relates to the technical field of video coding, in particular to a video coding 8x8 integer transformation method. Background technique [0002] A complete video coding system is composed of a series of algorithm modules such as prediction, transformation, quantization, and entropy coding. Among them, intra-frame and inter-frame prediction is to use the correlation of video data in space and time to compress data. The transformation module is to transform the image residual data output by the prediction module from the time domain to another space, so that the energy of the flatly distributed data in the time domain is concentrated in the transformed space, and most of the energy of the data is concentrated in the low frequency area of the space . In the subsequent quantization and entropy coding modules, the transformed data distribution characteristics will be effectively used to further compress the data. Obviously, the tr...
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